Tutorials
Tutorial 1: Large-scale Optimization for Machine Learning
Julien Mairal, Inria Grenoble (France)
Julien Mairal received the Graduate degree from the Ecole Polytechnique, Palaiseau, France, in 2005, and the Ph.D. degree from Ecole Normale Superieure, Cachan, France, in 2010. He was a Postdoctoral Researcher at the Statistics Department, UC Berkeley. In 2012, he joined Inria, Gifsur-Yvette, France, where he is currently a Research Scientist. His research interests include machine learning, computer vision, mathematical optimization, and statistical image and signal processing. In 2016, he received a Starting Grant from the European Research Council.
Tutorial 2: Tensors in Data Science
Nikos Sidiropoulos, Louis T. Rader Professor and Chair, Dept. of ECE, University of Virginia (USA)
Nicholas D. Sidiropoulos received the Diploma degree in electrical engineering from Aristotelian University of Thessaloniki, Thessaloniki, Greece, and the M.S. and Ph.D. degrees in electrical engineering from the University of Maryland College Park, College Park, MD, USA, in 1988, 1990, and 1992, respectively. He has served on the faculty of the University of Virginia (UVA), University of Minnesota, and the Technical University of Crete, Greece, prior to his current appointment as Chair of ECE at UVA. His research interests are in signal processing, communications, optimization, tensor decomposition, and factor analysis, with applications in machine learning and communications. He received the NSF/CAREER award in 1998, the IEEE Signal Processing Society (SPS) Best Paper Award in 2001, 2007, and 2011, served as IEEE SPS Distinguished Lecturer (2008-2009), and currently serves as Vice President - Membership of IEEE SPS. He received the 2010 IEEE Signal Processing Society Meritorious Service Award, and the 2013 Distinguished Alumni Award from the University of Maryland, Dept. of ECE. He is a Fellow of IEEE (2009) and a Fellow of EURASIP (2014).